| Human Factors | Other Factors |
|---|---|
| Participant behavior | Equipment failures |
| Evaluator errors | Records/Databases |
| Partner behavior | Unusual Events |
Presentation to MSU Department of Psychology, Program Evaluation Occasional Speaker Series, East Lansing, MI
2024-12-05
Missing data (MD) are measurements you want or intended to collect but did not get.[1]
Data collection doesn’t always go according to plan…
| Human Factors | Other Factors |
|---|---|
| Participant behavior | Equipment failures |
| Evaluator errors | Records/Databases |
| Partner behavior | Unusual Events |
Handling missing data well enacts our guiding principles[2]:
There are 3 major scientific activities that can be affected by missing data.
A representative sample is crucial to generalizing to the intended population!
How much data is there? Data volume is \(N_{values} = P \times V \times T\)
Report numbers & percentages of:
MCAR is when neither observed nor unobserved variables predict which data is missing.
MAR is when observed values predict which data is missing.
MNAR is when unobserved values predict which values are missing.
An ounce of prevention is better than a pound of cure